Based on fuzzy neural network, this paper presents a self learning controller used to industrial kiln temperature system.

本文提出一种模糊神经网络自学习控制方法，并应用于窑炉温度控制系统中。

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The result of simulation shows that this neural network fuzzy controller features self-learning and self-adaptive capabilities, and the purpose of on-line control is accomplished.

仿真结果表明，所设计的神经网络模糊控制器具有自学习、自适应等优点，达到了在线控制的目的。

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This paper proposes a design of the self adaptive learning fuzzy controller based on Genetic Algorithms optimization.

本文提出一种基于基因算法优化的自学习模糊控制器的设计。

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